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NetApp DataOps Toolkit MCP Servers

by NetApp@netappNo ratings yet

Expose dataset and workspace operations to AI agents

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Linked from github.com · checked 30 Oct

Tool type
MCP tools for AI infrastructure workflows
Made for
Infrastructure engineers and AI-agent developers
Runs on
Local Python MCP servers
Last checked
30 Oct 2026
1 product sources

What it does

The NetApp DataOps Toolkit MCP family provides focused agent tools for provisioning and protecting datasets or development workspaces. It contains separate servers for ONTAP, Azure NetApp Files, Google Cloud NetApp Volumes and Kubernetes, with capabilities tailored to each backend.

These Python-based local servers support operations such as creating volumes, cloning datasets and taking snapshots; the Kubernetes variant also handles JupyterLab workspaces. Select the relevant server and configure its storage or cluster permissions. The family is grouped here because the implementations serve the same data-lifecycle task across different backends.

What it can do

  • Dataset provisioning
  • Volume cloning
  • Snapshots
  • Workspace management
  • Backend-specific replication

Works with

  • ONTAP
  • Azure NetApp Files
  • Google Cloud NetApp Volumes
  • Kubernetes

Before you choose

  • Storage, cloud infrastructure and AI-client subscriptions may incur separate charges.
  • Confirm the server’s current support and commercial terms.

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Get started

  1. Review the server’s deployment and account requirements.
  2. Configure a narrowly authorized identity and connect an MCP-compatible client.
  3. Validate results and require review for any supported state-changing operation.
Review setup requirements

Plans and prices

Confirm the selected server’s entitlement and support terms. Existing storage or cloud accounts, self-hosted infrastructure and AI-client usage can add separate costs.

We couldn’t find published prices for NetApp DataOps Toolkit MCP Servers. See their pricing page ↗

Sources for this overview

Product pages, documentation, and pricing checked 30 Oct 2026. Each source supports part of the overview; availability and prices can change.

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Where this comes from

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Last checked 30 Oct 2026. Every field keeps its source and date; unknown means we couldn’t confirm it.